Mailman 3 June 2021 - scikit-learn

[ANN] scikit-learn 0.24.0rc1 is online!
by Olivier Grisel Jan. 19, 2024

Jan. 19, 2024

Please help us test the first release candidate for scikit-learn 0.24.0: pip install scikit-learn==0.24.0rc1 Changelog: https://scikit-learn.org/0.24/whats_new/v0.24.html In particular, if you maintain a project with a dependency on scikit-learn, please let us know about any regression. Feel free to also retweet the announcement to get more people to test it before the final release (probably in 1 week or 2): https://twitter.com/scikit_learn/status/1334562221498753026 Thanks to anybody who helped make this happen! -- Olivier

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Open Source: sustainability and etiquette
by Reshama Shaikh Oct. 11, 2021

Oct. 11, 2021

Hello, I've seen some excellent resources that have explained open source, its sustainability, challenges and *indirectly, the etiquette*. I am starting to compile the list here [a]. This keynote by Stuart Geiger is a must-watch: The Invisible Work of Maintaining & Sustaining Open Source Software [b] There is one more video by Emily someone who was at Microsoft, but is now a professor somewhere, and I am trying to track that video down. I think it's from 2017. I'll add it to the list once I find it. If anyone knows the full name of the speaker, please share. [a] https://www.dataumbrella.org/open-source/open-source-sustainability [b] https://www.youtube.com/watch?v=PM3iltcaIL8 Best, Reshama --- Reshama Shaikh she/her Blog <https://reshamas.github.io> | Twitter <https://twitter.com/reshamas> | LinkedIn <https://www.linkedin.com/in/reshamas/> | GitHub <https://github.com/reshamas> Data Umbrella <https://www.dataumbrella.org> NYC PyLadies <https://meet.meetup.com/wf/click?upn=pEEcc35imY7Cq0tG1vyTt6zEs68RbcMfjPcajN…>

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Spanish translation proposal for Scikit-Learn documentation
by Mariangela Petrizzo Aug. 17, 2021

Aug. 17, 2021

Dear Scikit-Learn team! I am Mariángela Petrizzo, I am writing to you as a member of Qu4nt, a team dedicated to the use of open source tools for the development of software solutions with emphasis on data science. We have a strong interest in translating the Scikit-Learn documentation into Spanish. Our team is made up of members from various scientific fields, including some university faculty in linguistics and computer sciences, with a wide experience in Python as well as several libraries used for data analysis and machine learning, and also contribute locally as evangelists of its use in Spanish-speaking communities, in particular, the leader initiated the translation of some Software Carpentry lessons into Spanish. That is why we have been discussing the opportunity to offer our contribution to the Python project, promoting the translation into Spanish of the documentation of some of the libraries with the greatest impact in our areas of interest. Talking with David Mertz, to whom we are sending a copy of this email, we have explored options, and the idea of working with Scikit-learn has really seemed to be an exceptional opportunity for all of us and the community. He's very enthusiastic about the idea of generating a spanish translation of Scientific Python libraries like Scikit-learn. For us, this translation project has to be done through a completely open work on Github, taking as reference the restructured text sources for Sphinx from a git fork, using the tools provided by Sphinx itself for internationalization: https://www.sphinx-doc.org/en/1.8/intl.html, and applying tags to perform planned updates. In addition, as with any open source project, the main mechanism for quality assurance comes from the users themselves who will have the channels available for submitting issues. Our intention is to secure all the infrastructure and mechanisms to make this possible: making the process transparent through Github, using as much as possible tools like Transifex to facilitate participation, and providing guidelines for contributors as part of the project. Of course, this project cannot be realized without your support. We therefore come to you to inquire about your willingness to accompany and support this project. We would love to hear your feedback on our proposal. Best regards, Mariángela -- María Ángela Petrizzo Páez [image: https://] [image: https://]about.me/petrizzo <https://about.me/petrizzo?promo=email_sig&utm_source=product&utm_medium=ema…> Descárgate Redes para la Comprensión de la Política <http://www.elperroylarana.gob.ve/redes-para-la-comprension-de-la-politica/> *A quienes conservan la esperanza que no es lo último que se pierde, sino lo primero que se siembra y, por tanto, lo más radical.* El único modo de vencer el secuestro del conocimiento es comprender sus razones. La manera de revertirlo, es hacernos hackers de los secuestros cotidianos a cambio de no morir sin saber lo que somos ¡Piensa para vivir, actúa para hackear! Cada día, una acción procomún a la vez. *“Tengo horror de aquellos cuyas palabras van más allá que sus actos”* *Albert Camus* *“El poder, lejos de estorbar al saber, lo produce.” - **Michael Foucault* Usuario Linux # 498889 Miembro Red de Politólogas - #NoSinMujeres <http://www.nosinmujeres.com/> https://hotelescuela.academia.edu/MariangelaPetrizzoPaez http://orcid.org/0000-0001-9483-4185 PEII - Nivel B

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[Data Umbrella] scikit-learn Latin America sprint (June 2021)
by Reshama Shaikh July 28, 2021

July 28, 2021

Hello, Data Umbrella is organizing a scikit-learn open source sprint, with a focus on * LATIN AMERICA * on June 26, 2021. This scikit-learn sprint is a 4-hour online hands-on "hackathon" where we work on issues in the scikit-learn GitHub repo to get started in contributing to open source in a structured setting. There is 2-3 hours of pre-work and participants will work with a pair programming partner during the sprint. Sprint website: https://latam2021.dataumbrella.org/home Sprint application: https://forms.gle/cxav9eE9ZkiULfbm7 Tweet: https://twitter.com/DataUmbrella/status/1394661734275821573 LinkedIn post: https://www.linkedin.com/feed/update/urn:li:activity:6800434144624070656/ Meetup event: https://www.meetup.com/data-umbrella/events/278298428/ FAQ: Q: If I am not in Latin America, can I still apply and participate? A: Priority will be given to folks in the Latin America region. If there are open spots, we will open it up to other regions. In the meantime, we have resources available for all to get started in contributing to scikit-learn. Check them out here: https://latam2021.dataumbrella.org/about/prep-work Any questions, please email us: data.umbrella.dei(a)gmail.com Cheers, Reshama --- Reshama Shaikh she/her Blog <https://reshamas.github.io> | Twitter <https://twitter.com/reshamas> | LinkedIn <https://www.linkedin.com/in/reshamas/> | GitHub <https://github.com/reshamas> Data Umbrella <https://www.dataumbrella.org> NYC PyLadies <https://meet.meetup.com/wf/click?upn=pEEcc35imY7Cq0tG1vyTt6zEs68RbcMfjPcajN…>

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scikit-learn monthly developer meeting: Monday June 28 2021
by Olivier Grisel June 25, 2021

June 25, 2021

Dear all, The scikit-learn developer monthly meeting will take place on Monday June 28th at 3PM UTC. - Video call link: https://meet.google.com/qbg-ucpe-ngz - Meeting notes / agenda: https://hackmd.io/0yokz72CTZSny8y3Re648Q - Local times: https://www.timeanddate.com/worldclock/meetingdetails.html?year=2021&month=… The goal of this meeting is to discuss ongoing development topics for the project. Everybody is welcome. As usual, please follow the code of conduct of the project: https://github.com/scikit-learn/scikit-learn/blob/main/CODE_OF_CONDUCT.md Regards, -- Olivier

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HOWTO fix your merge conflicts after we've applied `black`
by Adrin June 23, 2021

June 23, 2021

Hi, This is to let you know that if you have an open PR, and you have merge conflicts due to the fact that now we have applied `black` to the repo, please refer to this issue <https://github.com/scikit-learn/scikit-learn/issues/20301> which explains how you can fix your merge conflicts. Best, Adrin

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New member of the triage team: Norbert
by Guillaume Lemaître June 22, 2021

June 22, 2021

We are excited to welcome a new member of the triage team: * Norbert Preining https://github.com/norbusan The thorough work of the triage team on helping the scikit-learn community by triaging issues and PRs, organizing sprints, responding to discussions, is extremely valuable and helpful in the development and use of scikit-learn. Cheers, -- Guillaume Lemaitre Scikit-learn @ Inria Foundation https://glemaitre.github.io/

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function transformer
by Manprit Singh June 21, 2021

June 21, 2021

Dear sir , Just need to know if I can use a function transformer to generate new columns in the data set . Just see the below written pipeline num_pipeline = Pipeline([('imputer', SimpleImputer(strategy="median")), ('attribs_adder', column_adder), ('std_scaler', StandardScaler()), ]) This pipeline is for numerical attributes in the dataset, firstly it will treat all mising values in the data set using SimpleImputer , then i have made a function to add three more columns in the existing data, i have made a function transformer with this function and then StandardScaler . The columns being added are generated from existing columns (by element wise division of two columns) . So Using a function transformer is ok ?

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New member of the triage team: Julien
by Guillaume Lemaître June 11, 2021

June 11, 2021

We are excited to welcome a new member of the triage team: * Julien Jerphanion https://github.com/jjerphan The thorough work of the triage team on helping the community is much appreciated. Cheers, -- Guillaume Lemaitre Scikit-learn @ Inria Foundation https://glemaitre.github.io/

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Is there a model for truncated regression in sklearn?
by Francois Berenger June 8, 2021

June 8, 2021

Hello, https://en.wikipedia.org/wiki/Truncated_regression_model Sometimes, data have missing samples when the target variable is above or below a threshold value. This is very often the case for biochemical data (e.g. target variable outside detection range of some lab equipment). I highly suspect some specific models could handle such datasets better than generic methods (i.e. train better models). Some points of entry, if that might help: - R has a truncreg package https://cran.r-project.org/web/packages/truncreg/index.html - a related paper from the wikipedia page: "Local likelihood estimation of truncated regression and its partial derivatives: Theory and application" https://hal.archives-ouvertes.fr/hal-00520650/file/PEER_stage2_10.1016%252F… I can provide a cleaned public regression dataset, if someone is interested, for tests (there are many such datasets in ChEMBL and PubChem by the way, but you need to know how to "featurize"/encode molecules). Regards, F.

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